Forecasting drought using neural network approaches with transformed time series data

DOI10.1080/02664763.2020.1867829OpenAlexW3117904254MaRDI QIDQ5861200

Fatma Sevinç Kurnaz, O. Ozan Evkaya

Publication date: 4 March 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2020.1867829

zbMATH Keywords

waveletmachine learningANNSPIdrought indexnonlinear auto-regressive

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Related Items (1)

Editorial to the special issue: Recent statistical methods for data analysis, applied economics, business & finance

Uses Software

• Matlab
• R
• wmtsa

Cites Work

• Prediction Based on a Multiscale Decomposition
• Wavelets in time-series analysis
• Unnamed Item

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